TY - JOUR
T1 - A multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs
AU - Shaaban, Mohamed
AU - Tan, Wen Shan
AU - Abdullah, Md Pauzi
N1 - Funding Information:
This work was supported by the Malaysian Ministry of Higher Education (MOHE), and Universiti Malaysia Sarawak (UNIMAS), Malaysia under the Fundamental Research Grant Scheme (FRGS), Grant No. F02/FRGS/1620/2017 .
Publisher Copyright:
© 2018 Elsevier Ltd
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/7
Y1 - 2018/7
N2 - Flexible ramping products (flexiramp), provided by entitled resources to meet net demand forecast error, are the underpinning for the accommodation of the substantial uncertainties associated with variable wind power. This paper proposes an enhanced flexiramp modeling approach, cast in a hybrid stochastic/deterministic multi-timescale framework. The framework employs a chance-constrained day-ahead scheduling method, as well as deterministic scheduling on intra-hourly basis (real-time scheduling), to allow optimal procurement planning of the flexiramp products in both timescales. A stepwise and piecewise demand price curve is also proposed to calculate the flexiramp surplus procurement price. Non-generation resource (NGR), referring to energy storage, is implemented to provide extra flexibility. Additionally, cycling ramping cost (cycliramp), introduced to model operational and maintenance costs and reduce the wear and tear of generators, is also included as a penalty. Numerical tests are conducted on 6-bus and 118-bus systems. Results demonstrate the merits of the proposed scheduling model as well as the effects of flexiramp and cycliramp costs in the multi-timescale scheduling.
AB - Flexible ramping products (flexiramp), provided by entitled resources to meet net demand forecast error, are the underpinning for the accommodation of the substantial uncertainties associated with variable wind power. This paper proposes an enhanced flexiramp modeling approach, cast in a hybrid stochastic/deterministic multi-timescale framework. The framework employs a chance-constrained day-ahead scheduling method, as well as deterministic scheduling on intra-hourly basis (real-time scheduling), to allow optimal procurement planning of the flexiramp products in both timescales. A stepwise and piecewise demand price curve is also proposed to calculate the flexiramp surplus procurement price. Non-generation resource (NGR), referring to energy storage, is implemented to provide extra flexibility. Additionally, cycling ramping cost (cycliramp), introduced to model operational and maintenance costs and reduce the wear and tear of generators, is also included as a penalty. Numerical tests are conducted on 6-bus and 118-bus systems. Results demonstrate the merits of the proposed scheduling model as well as the effects of flexiramp and cycliramp costs in the multi-timescale scheduling.
KW - Flexible ramping product
KW - Generation unit ramping cost
KW - Mixed-integer linear programming
KW - Ramp market
KW - Renewable energy integration
UR - http://www.scopus.com/inward/record.url?scp=85041747283&partnerID=8YFLogxK
U2 - 10.1016/j.ijepes.2018.02.004
DO - 10.1016/j.ijepes.2018.02.004
M3 - Article
AN - SCOPUS:85041747283
VL - 99
SP - 585
EP - 593
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
SN - 0142-0615
ER -
